Full Description
There is no lack of hype around artificial intelligence. We have only begun to scratch the surface of what this powerful technology can do. While tech and financial services become more intertwined, cutting through the noise has become more difficult but also more crucial.
As a technology, AI is essential to advancing innovation, to creating efficiencies, and enhancing productivity while capturing opportunities by both incumbent financial institutions as well as fintechs. But it also comes with risks and potential for biases and disinformation, that can deepen inequalities and erode trust in our society. Responsible innovation must become part of our DNA and not as an afterthought.
This book provides a tailored overview of what AI specifically means for financial services, a highly regulated yet also disrupted industry. It investigates the current state of AI applications in financial services today along with the state of funding and partnerships between tech and banking industries. It also examines the key pillars of responsible AI and the importance of keeping humans in the loop. The book takes a deep dive into the use cases in the financial services industry, the challenges and opportunities, and the fragmented regulatory landscape. How can we effectively assess risks, and balance innovation and customer centricity with trust in AI in financial services? Can smaller organizations reap the benefits of the technology? How can institutions deploy AI responsibly and securely, and promote a fairer and more equitable future for more people? While data is about bits and bytes, the realities of AI is very much human. This book will help spark dialogue and collaboration as we journey into the future.
Contents
Chapter 1: Introduction.- Chapter 2: The rise of AI and generative AI.- Chapter 3: The key pillars of responsible AI.- Chapter 4: Size matters when adopting and scaling AI.- Chapter 5: Trust and evolution of risk.- Chapter 6: Representation matters.- Chapter 7: Future of work.- Chapter 8: Win at all costs?.- Chapter 9: Ownership, rights, and governance.- Chapter 10: Trustworthy and Human-Centered AI.
